LibreDeepSeekOCR1
DeepSeek-OCR (3B mixture-of-experts document OCR model) weights mirrored for
LibreYOLO's ocr task.
Source
Mirrored from deepseek-ai/DeepSeek-OCR
at commit 9f30c71f441d010e5429c532364a86705536c53a
(code, paper arXiv:2510.18234).
Copyright (c) 2023 DeepSeek. Licensed under the MIT License.
Modifications
No learned parameters were changed. The safetensors, config.json, tokenizer
and processor files are byte-identical to the upstream snapshot. The upstream
remote-code Python files and example assets are not included: LibreYOLO runs
its own PyTorch port of the architecture and never executes remote code.
Usage
from libreyolo import LibreVLM
model = LibreVLM("deepseek-ocr") # grounded OCR, Gundam resolution
result = model.predict("page.png")
print(result.ocr.texts) # one transcript per text line
page = LibreVLM("deepseek-ocr", prompt="markdown").predict("page.png")
print(page.ocr.markdown)